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AI's next phase requires deep tech convergence beyond generative models

The current state of AI in 2026 is described as an awkward phase, with generative AI being a superficial layer of future advancements. True general usefulness will require significant funding and a convergence of emerging technologies, positioning the 2030s and 2040s for a truly multi-spectrum AI. This includes advancements in physical AI, unified computing paradigms like quantum and world models, orbital compute, and scientific AI for breakthroughs in fields like biotechnology and materials development. The United States is showing strong government backing and circular financing for AI, with initiatives like the Trump administration's executive orders on quantum computing and government investment in companies such as SandboxAQ. AI

IMPACT Future AI development hinges on deep tech convergence and significant investment beyond current generative models, potentially reshaping industries by the 2030s.

RANK_REASON The item is an opinion piece discussing future trends and funding in AI, rather than a specific release or event.

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AI's next phase requires deep tech convergence beyond generative models

COVERAGE [1]

  1. AI Supremacy (Michael Spencer) TIER_1 English(EN) · Michael Spencer ·

    Rise of the Artificial General Engineer

    Generative AI is a superficial layer of what is yet to come.